2.txt

来自「This complete matlab for neural network」· 文本 代码 · 共 48 行

发信人: GzLi (笑梨), 信区: DataMining
标  题: Tom Mitchell的machine learning
发信站: 南京大学小百合站 (Tue Apr 23 23:23:47 2002), 站内信件

http://202.112.116.44/documents/Tutorial/AI/Machine%20Learning.pdf 
经典教材，不容错过：） 
遗憾的是，是从扫描图片中生成的，所以文件很大（44M），而且无法拷贝文本

 http://www-2.cs.cmu.edu/~tom/mlbook.html 

Machine Learning, Tom Mitchell, McGraw Hill, 1997. 
Machine Learning is the study of computer algorithms that improve 
automatically through experience. Applications range from datamining 
programs that discover general rules in large data sets, to information 
filtering systems that automatically learn 
users' interests. 
This book provides a single source introduction to the field. It is written 
for advanced undergraduate and graduate students, and for developers and 
researchers in the field. No prior background in artificial intelligence 
or statistics is assumed. 

Chapter Outline: (or see the detailed table of contents (postscript)) 

1. Introduction 
2. Concept Learning and the General-to-Specific Ordering 
3. Decision Tree Learning 
4. Artificial Neural Networks 
5. Evaluating Hypotheses 
6. Bayesian Learning 
7. Computational Learning Theory 
8. Instance-Based Learning 
9. Genetic Algorithms 
10. Learning Sets of Rules 
11. Analytical Learning 
12. Combining Inductive and Analytical Learning 
13. Reinforcement Learning 
414 pages. ISBN 0070428077 
 
--
GzLi如是说：
     Joy and pain are coming and going both
     Be kind to yourself and others.

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